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Add final deployment checklist and project summary
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FINAL_CHECKLIST.md

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# 🎯 Final Deployment Checklist
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## ✅ COMPLETED: Infrastructure Setup
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### Core Infrastructure Files
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- [x] `terraform/main.tf` - Core GCP resources (BigQuery, Storage)
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- [x] `terraform/cloud_function.tf` - Event-driven data loading function
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- [x] `terraform/backend.tf` - Remote state management
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- [x] `terraform/variables.tf` - Variable definitions with validation
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- [x] `terraform/terraform.tfvars.example` - Configuration template
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### Cloud Function Implementation
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- [x] `terraform/function/main.py` - Python function for BigQuery data loading
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- [x] `terraform/function/requirements.txt` - Python dependencies:
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```
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functions-framework==3.*
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google-cloud-bigquery==3.*
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google-cloud-storage==2.*
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pandas==2.*
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```
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### CI/CD Pipeline
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- [x] `.github/workflows/terraform.yml` - GitHub Actions workflow
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- [x] `scripts/check_and_load_titanic_data.sh` - Data loading script
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- [x] `scripts/test_deployment.ps1` - Local testing script
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- [x] `scripts/validate_deployment.sh` - Post-deployment validation
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- [x] `scripts/setup.ps1` - Initial setup automation
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### Documentation
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- [x] `README.md` - Project overview and quick start
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- [x] `GITHUB_SECRETS_SETUP.md` - Secrets configuration guide
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- [x] `DEPLOYMENT_STATUS.md` - Complete status and next steps
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- [x] `.gitignore` - Proper exclusions for auth files
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### Security & Permissions
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- [x] `terraform/permissions/permissions.tf` - Service account setup
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- [x] Minimal IAM permissions (BigQuery Editor, Storage Viewer)
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- [x] Service account for Cloud Function execution
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- [x] Remote state with versioning enabled
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## 🚀 READY FOR DEPLOYMENT
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### Manual Steps Required:
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1. **Configure GitHub Secrets** (see `GITHUB_SECRETS_SETUP.md`)
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- GCP_PROJECT_ID
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- GCP_REGION
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- GCP_ENVIRONMENT
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- GCP_SERVICE_ACCOUNT_KEY
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2. **Update Configuration**
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```powershell
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.\scripts\setup.ps1 -ProjectId "your-project-id"
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```
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3. **Deploy**
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```powershell
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git push origin main
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```
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### Expected Deployment Flow:
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```
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GitHub Push → Actions Trigger → Terraform Deploy → Data Upload → Cloud Function → BigQuery Table
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```
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### Post-Deployment Verification:
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- BigQuery table: `project.test_dataset.titanic` (891 rows)
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- Cloud Function: `titanic-data-loader` (ready for events)
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- Storage buckets: 3 buckets created and configured
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- All APIs enabled automatically
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## 🎯 Architecture Summary
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**Event-Driven Data Pipeline:**
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1. CSV uploaded to temp bucket
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2. Cloud Function automatically triggered
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3. Data processed and loaded to BigQuery
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4. Ready for analytics and ML workflows
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**Infrastructure as Code:**
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- All resources defined in Terraform
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- Remote state management with versioning
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- Automated deployment via GitHub Actions
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- Environment-specific configurations
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**Security & Best Practices:**
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- Service accounts with minimal permissions
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- Secrets managed via GitHub Secrets
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- State files stored securely in GCS
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- Comprehensive error handling and validation
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---
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## 🏁 STATUS: ✅ COMPLETE & READY FOR DEPLOYMENT
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**Total Files**: 24
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**Infrastructure Components**: 8 (BigQuery, Storage, Cloud Function, IAM, APIs)
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**Automation Scripts**: 4 (setup, test, validate, data-load)
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**Documentation**: 3 (README, secrets guide, status)
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**Next Action**: Configure GitHub Secrets and push to deploy! 🚀

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